**The Limits of Mathematics**

by Gregory J. Chaitin

**Publisher**: Springer 2003**ISBN/ASIN**: 1852336684**ISBN-13**: 9781852336684**Number of pages**: 270

**Description**:

This book is the final version of a course on algorithmic information theory and the epistemology of mathematics and physics. It discusses Einstein and Goedel's views on the nature of mathematics in the light of information theory, and sustains the thesis that mathematics is quasi-empirical.

Download or read it online for free here:

**Download link**

(600KB, PDF)

## Similar books

**Algorithmic Information Theory**

by

**Peter D. Gruenwald, Paul M.B. Vitanyi**-

**CWI**

We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We explain this quantitative approach to defining information and discuss the extent to which Kolmogorov's and Shannon's theory have a common purpose.

(

**5861**views)

**Logic and Information**

by

**Keith Devlin**-

**ESSLLI**

An introductory, comparative account of three mathematical approaches to information: the classical quantitative theory of Claude Shannon, a qualitative theory developed by Fred Dretske, and a qualitative theory introduced by Barwise and Perry.

(

**6382**views)

**Information Theory, Inference, and Learning Algorithms**

by

**David J. C. MacKay**-

**Cambridge University Press**

A textbook on information theory, Bayesian inference and learning algorithms, useful for undergraduates and postgraduates students, and as a reference for researchers. Essential reading for students of electrical engineering and computer science.

(

**18696**views)

**Error-Correction Coding and Decoding**

by

**Martin Tomlinson, et al.**-

**Springer**

This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies.

(

**1467**views)